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A survey of simulated annealing as a tool for single and multiobjective optimization
Abstract
This paper presents a comprehensive review of simulated annealing (SA)-based optimization algorithms. SA-based algorithms solve single and multiobjective optimization problems, where a desired global minimum/maximum is hidden among many local minima/maxima. Three single objective optimization algorithms (SA, SA with tabu search and CSA) and five multiobjective optimization algorithms (SMOSA, UMOSA, PSA, WDMOSA and PDMOSA) based on SA have been presented. The algorithms are briefly discussed and are compared. The key step of SA is probability calculation, which involves building the annealing schedule. Annealing schedule is discussed briefly. Computational results and suggestions to improve the performance of SA-based multiobjective algorithms are presented. Finally, future research in the area of SA is suggested.
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Simulated annealing algorithms: an overview
Rutenbar, R. A. (1989) · IEEE Circuits and Devices Magazine · doi:10.1109/101.17235 · Cited by 807
Cited by
Recent advances in engineering design optimisation: Challenges and future trends
Roy, R., Hinduja, S., & Teti, R. (2008) · CIRP Annals · doi:10.1016/j.cirp.2008.09.007 · Cited by 248
Fang, C., Liu, X., Pardalos, P. M., & Pei, J. (2016) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-015-7593-1 · Cited by 102
Model Predictive Control for Finite Input Systems using the D-Wave Quantum Annealer
Inoue, D., & Yoshida, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-58081-9 · Cited by 39
Metadata
- Authors
- Suman, B., & Kumar, P.
- Venue
- Journal of the Operational Research Society
- Publisher
- Informa UK Limited
- Published
- 2006-10
- Volume
- 57
- Issue
- 10
- Pages
- 1143-1160
- ISSN
- 0160-5682 (ISSN-L)
- 1476-9360
- OpenAlex
- W2114725328
- Cited by
- 611
- References
- 2
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Suman, B., & Kumar, P. (2006). A survey of simulated annealing as a tool for single and multiobjective optimization. Journal of the Operational Research Society. https://doi.org/10.1057/palgrave.jors.2602068
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